Software Alternatives, Accelerators & Startups

Scikit-learn VS MakCorps

Compare Scikit-learn VS MakCorps and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

MakCorps logo MakCorps

Hotel Price Comparison API
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • MakCorps Landing page
    Landing page //
    2019-03-23

This hotel API helps you retrieve JSON data to compare Hotel prices, ratings and reviews from more than 200 websites including; Agoda.com, Hotels.com, Expedia and more. It allows developers to retrieve the data via just GET request along with the name of the city. We provide a transparent panel for your customers to compare hotel prices. Using our API you will get user reviews and ratings posted on all the top OTAs separately. This data will help you to beat your competitors and will increase your hotel bookings by a great margin. You can also use our API to search prices according to separate room types. We provide all sort of hospitality data for hotels and travel agencies. We also provide flight prices from more than 50 vendors like expedia, priceline.com, cheaptickets.com,etc.

MakCorps

$ Details
freemium $20.0 (DEMO pack for testing premium APIs)
Platforms
REST API ReactJS JavaScript Python
Release Date
2015 April

Scikit-learn features and specs

No features have been listed yet.

MakCorps features and specs

  • Free Trial: 30-Day Free Trial, No Credit Card Needed
  • Easy to Set-up and use: Take less than a minute to get your team up and running

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

MakCorps videos

How to use Makcorps Hotel Price Comparison API?

More videos:

  • Demo - Hotel API
  • Review - MakCorps - Hotel Price Comparison API

Category Popularity

0-100% (relative to Scikit-learn and MakCorps)
Data Science And Machine Learning
Travel
0 0%
100% 100
Data Science Tools
100 100%
0% 0
API Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and MakCorps

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

MakCorps Reviews

We have no reviews of MakCorps yet.
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Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 22 days ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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MakCorps mentions (0)

We have not tracked any mentions of MakCorps yet. Tracking of MakCorps recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and MakCorps, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

HotelTonight Escape - The best getaway deals for tonight (or the weekend)

OpenCV - OpenCV is the world's biggest computer vision library

Gopher - Better hotel deals automatically, every time + cash back

NumPy - NumPy is the fundamental package for scientific computing with Python

Room Steals - Honey for hotels. You browse. We’ll show when it’s cheaper.